MCPcopy Create free account

hub / github.com/ZwwWayne/K-Net / types & classes

Types & classes17 in github.com/ZwwWayne/K-Net

↓ 1 callersClassMaskSamplingResult
Bbox sampling result. Example: >>> # xdoctest: +IGNORE_WANT >>> from mmdet.core.bbox.samplers.sampling_result import * # NOQA
knet/det/mask_pseudo_sampler.py:7
ClassASPPKernelHead
Rethinking Atrous Convolution for Semantic Image Segmentation. This head is the implementation of `DeepLabV3 <https://arxiv.org/abs/1706.0558
knet/seg/seg_kernel_head.py:8
ClassConvKernelHead
knet/det/kernel_head.py:12
ClassDiceCost
DiceCost. Args: weight (int | float, optional): loss_weight pred_act (bool): Whether to activate the prediction be
knet/det/mask_hungarian_assigner.py:15
ClassFCNKernelHead
knet/seg/seg_kernel_head.py:134
ClassIterativeDecodeHead
Rethinking Atrous Convolution for Semantic Image Segmentation. This head is the implementation of `DeepLabV3 <https://arxiv.org/abs/1706.0558
knet/seg/iter_decode_head.py:7
ClassKNet
knet/det/knet.py:11
ClassKernelIterHead
knet/det/kernel_iter_head.py:13
ClassKernelUpdateHead
knet/seg/kernel_update_head.py:12
ClassKernelUpdateHead
knet/det/kernel_update_head.py:19
ClassKernelUpdator
knet/kernel_updator.py:8
ClassMaskCost
MaskCost. Args: weight (int | float, optional): loss_weight
knet/det/mask_hungarian_assigner.py:77
ClassMaskHungarianAssigner
Computes one-to-one matching between predictions and ground truth. This class computes an assignment between the targets and the predictions
knet/det/mask_hungarian_assigner.py:114
ClassMaskPseudoSampler
A pseudo sampler that does not do sampling actually.
knet/det/mask_pseudo_sampler.py:77
ClassPSPKernelHead
Pyramid Scene Parsing Network. This head is the implementation of `PSPNet <https://arxiv.org/abs/1612.01105>`_. Args: pool_scales
knet/seg/seg_kernel_head.py:105
ClassSemanticFPNWrapper
Implementation of Semantic FPN used in Panoptic FPN. Args: in_channels ([type]): [description] feat_channels ([type]): [descripti
knet/det/semantic_fpn_wrapper.py:10
ClassUPerKernelHead
Unified Perceptual Parsing for Scene Understanding. This head is the implementation of `UPerNet <https://arxiv.org/abs/1807.10221>`_. Ar
knet/seg/seg_kernel_head.py:43